Receiving apparatus, receiving method, integrated circuit, digital television receiver, and program

ABSTRACT

In a receiving apparatus ( 100 ), a noise power estimation unit ( 107 ) estimates the noise power included in a received signal in the frequency domain. A channel characteristics calculation unit ( 105 ) estimates the channel characteristics in accordance with a reference signal included in the received signal. A tap coefficient calculation unit ( 108 ) calculates the tap coefficients for a filtering unit ( 109 ) in accordance with noise power included in the received signal and with an autocorrelation value for the channel characteristics. The filtering unit ( 109 ) calculates an estimated value for the channel characteristics via filtering processing on the channel characteristics in accordance with the tap coefficients.

TECHNICAL FIELD

The present invention relates to a received signal, the signal beingtransmitted by a multi-carrier transmission method, and to technologyfor applying adaptive processing to estimated channel characteristics.

BACKGROUND ART

Multi-carrier transmission methods are generally known as transmissionmethods with excellent resistance in a multipath environment. Because ofthese excellent characteristics, OFDM (Orthogonal Frequency DivisionMultiplexing), a multi-carrier transmission method which transmits overa plurality of orthogonal carriers, is used in digital terrestrialbroadcasting and in wireless LANs (Local Area Networks).

An explanation is now provided for a receiving system using the exampleof digital terrestrial broadcasting. Standards for digital terrestrialbroadcasting that use OFDM include the Japanese ISDB-T (IntegratedServices Digital Broadcasting for Terrestrial) or the European DVB-T(Digital Video Broadcasting-Terrestrial). These standards insert a pilotsignal, called an SP (Scattered Pilot), which is modulated at apredetermined amplitude and phase, into the transmission signal as areference signal. At the receiving end, a method for demodulating andequalizing the received signal with reference to the amplitude and phaseof the SP signal is used.

The SP signal determined by the above-mentioned standard is insertedonce every 12 carriers in the carrier direction (frequency direction),and once every four symbols in the symbol direction (time direction).

FIG. 6 shows the basic structure of a digital terrestrial broadcastingreceiver, a receiving apparatus. The receiving apparatus 500 comprisesan antenna 501, a tuner unit 502, a synchronizing unit 503, an FFT (FastFourier Transform) unit 504, an equalizing unit 509, an error correctionunit 510, and a channel estimation unit 511.

The channel estimation unit 511 includes an SP extraction unit 505, aknown signal unit 506, a division unit 507, and an interpolation unit508.

Letting a transmission signal be X(l, k), the channel characteristicsand the noise component affecting the transmission signal be H(l, k) andN(l, k) respectively, and the received signal for this transmissionsignal be Y(l, k), then the following relationship (Equation 1) betweenthese elements holds.Y(l,k)=X(l,k)H(l,k)+N(l,k)  Equation 1

In this equation, l is a symbol number, and k is a carrier number.

Within the channel estimation unit 511, the SP extraction unit 505extracts an SP signal Y(l, k_(p)) from the OFDM signal converted into asignal in the frequency domain by the FFT unit 504.

The known signal unit 506 outputs a known signal X(l, k_(p)) whichindicates a predetermined amplitude, a predetermined phase, etc. for anSP signal known at the receiving end.

The division unit 507 estimates the channel characteristics H^(l, k_(p))affecting the known signal X(l, k_(p)), as acquired from the knownsignal unit 506, by dividing the extracted SP signal Y(l, k_(p)) by X(l,k_(p)), as in Equation 2 below.

$\begin{matrix}{{\hat{H}\left( {l,k_{p}} \right)} = {\frac{Y\left( {l,k_{p}} \right)}{X\left( {l,k_{p}} \right)} = {{H\left( {l,k_{p}} \right)} + \frac{N\left( {l,k_{p}} \right)}{X\left( {l,k_{p}} \right)}}}} & {{Equation}\mspace{14mu} 2}\end{matrix}$

“H^” is written in the present text because of character codeconstraints, yet writing “^” above “H” as in Equation 2 is actuallyappropriate. The same is true for “X^” and “Y^” below.

The interpolation unit 508 estimates H^(l, k_(d)), the channelcharacteristics for data carrier signals other than the SP signal, byinterpolating H^(l, k_(p)), the channel characteristics for this SPsignal, in the symbol direction (time direction) and the frequencydirection (carrier direction). Data after equalization are sought as inEquation 3 by dividing the data carrier signal by the estimated channelcharacteristics.{circumflex over (X)}(l,k _(d))=Y(l,k _(d))/Ĥ(l,k _(d))  Equation 3

If the noise component is small enough to be ignored, the second elementin the right hand side of Equation 2 can be ignored. In this case, thechannel characteristics H^(l, k_(p)) for the SP signal can be soughtnearly accurately and are equivalent to H(l, k_(p)). In an actualreceiving environment, however, a noise component is superimposed. Thusthe effects of noise cannot be ignored, and an estimated error isincluded in the channel characteristics H^(l, k_(p)).

Since the SP signal thus includes an estimated error, an estimated erroralso exists in the channel characteristics H^(l, k_(d)) for the datacarrier signal estimated by interpolation processing which uses thechannel characteristics H^(l, k_(p)) for the SP signal. Therefore, theestimation precision of the channel characteristics deteriorates. So asnot to worsen receiver performance, then, it is preferable to remove thenoise component which causes estimation error when estimating a channel.

With regards to this issue, Patent Document 1 (Japanese UnexaminedPatent Publication No. 2005-527153) proposes a method for estimating achannel via adaptive processing that uses a principle such as a Wienerfilter. FIG. 7 is a block diagram of the receiving apparatus in PatentDocument 1.

As shown in FIG. 7, the receiving apparatus 600 comprises an antenna601, a tuner unit 602, a synchronizing unit 603, an FFT unit 604, anequalizing unit 609, a channel estimation unit 605, an autocorrelationcalculation unit 606, a tap coefficient calculation unit 607, and afiltering unit 608.

The channel estimation unit 605 seeks the channel characteristics forthe pilot signal, and outputs said channel characteristics to theautocorrelation calculation unit 606. The autocorrelation calculationunit 606 calculates the autocorrelation function for the channelcharacteristics, and supplies the calculated autocorrelation value tothe tap coefficient calculating unit. The tap coefficient calculationunit 607 determines the tap coefficients for the noise removal filter,in accordance with the autocorrelation value supplied by theautocorrelation calculation unit 606. The filtering unit 608 performsfiltering processing on the channel characteristics provided by thechannel estimation unit 605 using the tap coefficients output from thetap coefficient calculation unit 607 and outputs the filtered channelcharacteristics to the equalizing unit 609.

CITATION LIST Patent Literature

-   Patent Document 1: Tokuhyo (published Japanese translation of PCT    international publication for patent application) No. 2005-527153.

SUMMARY OF INVENTION Technical Problem

In Patent Document 1, adaptive processing that uses a principle such asa Wiener filter is performed. During such adaptive processing, a desiredsignal (e.g. desired channel characteristics) is required.

Patent Document 1, however, discloses neither a method for calculatingnor a method for obtaining the desired channel characteristics.Moreover, it does not disclose the steps for determining a filter fromthe autocorrelation function of the desired channel characteristics.

The present invention was conceived in view of this background, and itis an object of the present invention to provide a receiving apparatuswhich, even when the desired channel characteristics are unknown, canperform effective adaptive processing to thereby improve the accuracy ofchannel estimation and, as a result, contribute to improving receiverperformance.

Solution to Problem

The above-described object is fulfilled by a receiving apparatuscomprising a conversion unit operable to convert a received signal, thesignal being transmitted by a multi-carrier transmission method, from atime domain into a frequency domain; a noise power estimation unitoperable to estimate, in accordance with the signal converted into thefrequency domain, a noise power included therein; a channelcharacteristics estimation unit operable to estimate channelcharacteristics in accordance with a reference signal included in thesignal converted into the frequency domain; an autocorrelationcalculation unit operable to calculate an autocorrelation value for theestimated channel characteristics; a tap coefficient calculation unitoperable to calculate tap coefficients in accordance with the noisepower estimated by the noise power estimation unit and theautocorrelation value calculated by the autocorrelation calculationunit; and a filtering unit operable to perform filtering on the channelcharacteristics in accordance with the tap coefficients calculated bythe tap coefficient calculation unit.

In the above-stated receiving apparatus, the tap coefficient calculationunit may include an autocorrelation matrix generation subunit operableto generate an autocorrelation matrix in accordance with theautocorrelation value; an inverse matrix calculation subunit operable tocalculate an inverse matrix for the autocorrelation matrix; and acoefficient calculation subunit operable to calculate tap coefficientsfor a noise removal filter by multiplying each element in the inversematrix by the noise power and subtracting the result from an identitymatrix.

In the above-stated receiving apparatus, the inverse matrix calculationsubunit may add a pre-established offset component to diagonal elementsin the autocorrelation matrix.

In another aspect, the present invention provides a method forreceiving, comprising the steps of: converting a received signal, thesignal being transmitted by a multi-carrier transmission method, from atime domain into a frequency domain; estimating, in accordance with thesignal converted into the frequency domain, a noise power includedtherein; estimating channel characteristics in accordance with areference signal included in the signal converted into the frequencydomain; calculating an autocorrelation value for the estimated channelcharacteristics; calculating tap coefficients in accordance with thenoise power estimated by the noise power estimation step and theautocorrelation value calculated by the autocorrelation calculationstep; and performing filtering on the channel characteristics inaccordance with the tap coefficients calculated by the tap coefficientcalculation step.

In another aspect, the present invention provides an integrated circuitcomprising: a conversion unit operable to convert a received signal, thesignal being transmitted by a multi-carrier transmission method, from atime domain into a frequency domain; a noise power estimation unitoperable to estimate, in accordance with the signal converted into thefrequency domain, a noise power included therein; a channelcharacteristics estimation unit operable to estimate channelcharacteristics in accordance with a reference signal included in thesignal converted into the frequency domain; an autocorrelationcalculation unit operable to calculate an autocorrelation value for theestimated channel characteristics; a tap coefficient calculation unitoperable to calculate tap coefficients in accordance with the noisepower estimated by the noise power estimation unit and theautocorrelation value calculated by the autocorrelation calculationunit; and a filtering unit operable to perform filtering on the channelcharacteristics in accordance with the tap coefficients calculated bythe tap coefficient calculation unit.

In another aspect, the present invention provides a digital televisionreceiver comprising: a conversion unit operable to convert a receivedsignal, the signal being transmitted by a multi-carrier transmissionmethod, from a time domain into a frequency domain; a noise powerestimation unit operable to estimate, in accordance with the signalconverted into the frequency domain, a noise power included therein; achannel characteristics estimation unit operable to estimate channelcharacteristics in accordance with a reference signal included in thesignal converted into the frequency domain; an autocorrelationcalculation unit operable to calculate an autocorrelation value for theestimated channel characteristics; a tap coefficient calculation unitoperable to calculate tap coefficients in accordance with the noisepower estimated by the noise power estimation unit and theautocorrelation value calculated by the autocorrelation calculationunit; and a filtering unit operable to perform filtering on the channelcharacteristics in accordance with the tap coefficients calculated bythe tap coefficient calculation unit.

In another aspect, the present invention provides a computer programcausing a computer to perform processing comprising the steps of:converting a received signal, the signal being transmitted by amulti-carrier transmission method, from a time domain into a frequencydomain; estimating, in accordance with the signal converted into thefrequency domain, a noise power included therein; estimating channelcharacteristics in accordance with a reference signal included in thesignal converted into the frequency domain; calculating anautocorrelation value for the estimated channel characteristics;calculating tap coefficients in accordance with the noise powerestimated by the noise power estimation step and the autocorrelationvalue calculated by the autocorrelation calculation step; and performingfiltering on the channel characteristics in accordance with the tapcoefficients calculated by the tap coefficient calculation step.

Advantageous Effects of Invention

In particular, the receiving apparatus in the present invention isprovided with a tap coefficient calculation unit operable to calculatetap coefficients in accordance with the noise power estimated by thenoise power estimation unit and the autocorrelation value calculated bythe autocorrelation calculation unit, and as the filtering unit performsfiltering processing on the channel characteristics in accordance withthe tap coefficients calculated by the tap coefficient calculation unit,even if the desired channel characteristics are unknown, the tapcoefficients can be calculated, and efficient adaptive processing can beperformed.

Furthermore, the tap coefficient calculation unit includes anautocorrelation matrix generation unit to generate an autocorrelationmatrix in accordance with the autocorrelation value, an inverse matrixcalculation unit to calculate an inverse matrix for the autocorrelationmatrix, and a coefficient calculation unit to calculate the tapcoefficients for the noise removal filter by multiplying each element inthe inverse matrix by the noise power and subtracting the result from anidentity matrix. Thus, the tap coefficients with differing delays usedin filtering can be sought collectively.

Furthermore, by adding a pre-established offset component to thediagonal elements in the autocorrelation matrix, it is possible toensure calculation accuracy of the inverse matrix even when there is nonoise component in the channel characteristics or the noise component isextremely small. It is also possible to suppress the occurrence ofcalculation error in the calculation of tap coefficients, and thus toestimate appropriate channel characteristics.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is a block diagram showing the structure of the receivingapparatus 100 in the embodiment of the present invention.

FIG. 2 is a block diagram showing part of the structure of the noisepower estimation unit 107.

FIG. 3 shows an example structure of the noise removal filter in thefiltering unit 109.

FIG. 4 is a block diagram showing the structure of the tap coefficientcalculation unit 108.

FIG. 5 is a flowchart showing the processing steps in the channelcharacteristics estimation unit 111.

FIG. 6 shows the basic structure of a prior art receiving apparatus.

FIG. 7 is a block diagram of the receiving apparatus in Patent Document1.

DESCRIPTION OF EMBODIMENTS

The following describes one embodiment of the present invention, withreference to the attached drawings.

Embodiment

FIG. 1 is a block diagram showing the structure of the receivingapparatus in the present embodiment. The receiving apparatus 100includes an antenna 101, a tuner unit 102, a synchronizing unit 103, anFFT unit 104, an equalizing unit 110, and a channel characteristicsestimation unit 111.

The antenna 101 receives a multi-carrier transmission signal transmittedby a transmitter station (not displayed).

The tuner unit 102 tunes into a desired channel's signal from among themulti-carrier transmission signal received by the antenna 101, performsfrequency conversion, and outputs the signal as a received signal.

The synchronizing unit 103 estimates the symbol timing, etc. based onthe received signal that the tuner unit 102 outputs. It then notifiesthe FFT unit 104 of the estimated symbol timing, etc.

The FFT unit 104 converts the received signal in the time domain, outputby the synchronizing unit 103, into a signal in the frequency domain.

The channel characteristics estimation unit 111 estimates (calculates)the channel characteristics based on the received signal in thefrequency domain, output by the FFT unit 104.

The equalizing unit 110 equalizes the received signal in the frequencydomain, output by the FFT unit 104, based on the channel characteristicsestimated by the channel characteristics estimation unit 111.

The channel characteristics estimation unit 111 includes a channelcharacteristics calculation unit 105, an autocorrelation calculationunit 106, a noise power estimation unit 107, a tap coefficientcalculation unit 108, and a filtering unit 109.

A detailed explanation of the channel characteristics estimation unit111 is provided below.

The channel characteristics calculation unit 105 calculates channelcharacteristics based on the SP signal included in the received signalin the frequency domain provided by the FFT unit 104 and outputs thecalculated channel characteristics.

The autocorrelation calculation unit 106 calculates the autocorrelationvalue for the channel characteristics output by the channelcharacteristics calculation unit 105 and outputs the calculatedautocorrelation value.

The noise power estimation unit 107 estimates and outputs the noisepower included in the received signal in the frequency domain providedby the FFT unit 104. The noise power can be estimated, for example,based on the difference between the estimated received signal and theactual received signal.

Concretely, the noise power estimation unit 107 obtains the channelcharacteristics H^_(TMCC) for the TMCC (Transmission MultiplexingConfiguration Control) signal from the channel characteristicscalculation unit 105.

Furthermore, the noise power estimation unit 107 estimates the TMCCsignal X^_(TMCC) for the transmission signal from the received signal inthe frequency domain, provided by the FFT unit 104. The product of thesetwo values, H^_(TMCC)·X^_(TMCC), becomes the estimated value Y^_(TMCC)for the TMCC received signal which is expected to be received based onthe channel characteristics estimated by the channel characteristicscalculation unit 105.

The noise power is estimated by seeking the difference between thisestimated received signal Y^_(TMCC) and the actually received signalY_(TMCC). Here, noise power is averaged over symbols of a predeterminedlength.

The following is an explanation, with reference to the attached figures,of the method for estimating the TMCC signal X^_(TMCC) for thetransmission signal based on the received signal for the frequencydomain, provided by the FFT unit 104. Estimation of the TMCC signal inFIG. 2 comprises a TMCC extraction unit 171, a TMCC decoding unit 172,and a TMCC remodulation unit 173. Note that the arrangement of the TMCCsignal generated at the transmitting end is known at the receiving end,and as the TMCC signal undergoes DBPSK (Differential Binary Phase ShiftKeying) in the symbol direction and the TMCC signals arranged in aplurality of carriers in a single symbol all transmit the same controlinformation, the processing described below for the TMCC extraction unit171, the TMCC decoding unit 172, and the TMCC remodulation unit 173 ispossible.

The TMCC extraction unit 171 extracts a TMCC signal from the OFDMtransmission signal (received signal) in the frequency domain, providedby the FFT unit 104, and outputs the extracted TMCC signal to the TMCCdecoding unit 172.

The TMCC decoding unit 172 applies demodulation processing for DBPSK tothe TMCC signal input by the TMCC extraction unit 171 and decodes thecontrol information transmitted by the TMCC signal. The TMCC decodingunit 172 then outputs the control information to the TMCC remodulationunit 173. However, as the TMCC signals arranged in a plurality ofcarriers in a single symbol all transmit the same control information,the TMCC decoding unit specifies the transmitted control information bymaking a majority decision regarding the transmitted control informationin accordance with a plurality of control information decoded from onesignal. This improves the decoded control information.

The TMCC remodulation unit 173 performs DBPSK on the control informationinput from the TMCC decoding unit 172, estimates the TMCC signal'smodulation phase for the transmitting end, and outputs the signalacquired by DBPSK.

In accordance with the autocorrelation value output by theautocorrelation calculation unit 106 and the noise power output by thenoise power estimation unit 107, the tap coefficient calculation unit108 calculates the tap coefficients for the noise removal filter in thefiltering unit 109 and outputs these coefficients.

The filtering unit 109 uses the tap coefficients provided by the tapcoefficient calculation unit 108 to perform filtering processing on thechannel characteristics provided by the channel characteristicscalculation unit 105 and outputs the channel characteristics whose noisehas been reduced via the filtering processing.

FIG. 3 shows an example of the structure of the noise removal filter inthe filtering unit 109.

The type of noise removal filter in the filtering unit 109 is commonlycalled a transversal filter. In the example in FIG. 3, the number oftaps is five. The filtering unit 109 includes five delay devices 191a-191 e, five multiplying devices 192 a-192 e used to multiply each ofthe tap coefficients W0-W4, and an adding device 193 for adding theoutput from the multiplying devices 192 a-192 e.

The channel characteristics output by a unit such as the filtering unit109 are provided to the equalizing unit 110 as the channelcharacteristics estimated by the channel characteristics estimation unit111. While not shown in FIG. 1, the equalized signal from the equalizingunit 110 is provided to an error correction unit. The signal correctedfor error by the error correction unit passes through the AV decodingunit, after which it is output both as video by the display and as audioby the speakers.

A detailed explanation is now provided regarding the operation of thereceiving apparatus 100 constructed in this way in the presentembodiment, in particular regarding the processing for seeking the tapcoefficients for the noise removal filter from the received signal inthe frequency domain. For the sake of simplicity, in this explanationthe number of taps in the noise removal filter used in the filteringunit 109 is five.

The channel characteristics calculation unit 105 calculates the channelcharacteristics for the received signal in the frequency domain. Forexample, in the case of a receiver for digital terrestrial broadcasting,the pilot signal inserted into the transmission signal is known at thetransmitting end, and the channel characteristics calculation unit 105seeks the channel characteristics for the pilot signal by dividing thereceived pilot signal by the known pilot signal. The channelcharacteristics calculation unit 105 provides the channelcharacteristics for the pilot signal sought in the above-described wayto the autocorrelation calculation unit 106.

The autocorrelation calculation unit 106 calculates the autocorrelationvalue for the channel characteristics provided by the channelcharacteristics calculation unit 105 and provides this autocorrelationvalue in vector form to the tap coefficient calculation unit 108. Thisautocorrelation value can be expressed as in Equation 4.r=[r ₀ r ₁ r ₂ r ₃ r ₄]  Equation 4

The autocorrelation values sought by the autocorrelation calculationunit 106 are autocorrelation values among the filter taps for thechannel characteristics that are the target of filtering processing inthe filtering unit 109.

Since the number of taps in the noise removal filter used in thefiltering unit 109 is five, there are five elements in the vector inEquation 4. Letting the channel characteristics be h₁(m), theautocorrelation value r_(i) is expressed in Equation 5. In thisequation, “m” is the index of channel characteristics that are thetarget of filtering processing in the filtering unit 109, and “i” is thefilter tap interval for seeking autocorrelation. Also, in Equation 5,E[·] expresses the expectation value calculation.r _(i) =E└h ₁(m)·h ₁*(m−i)┘  Equation 5

Next, an explanation is provided for the calculation method whereby thetap coefficient calculation unit 108 seeks the tap coefficients for thenoise removal filter based on the autocorrelation value output from theautocorrelation calculation unit 106 and the noise power output by thenoise power estimation unit 107.

The optimal tap coefficients are calculated using a Wiener-Hopfequation, well known in the adaptive filter field. The Wiener-Hopfequation is shown in Equation 6.w=R _(xx) ⁻¹ r _(dx)  Equation 6

As shown in Equation 6, the set of optimal tap coefficients is obtainedas a column vector “w.” To seek the optimal tap coefficients “w” usingthe Wiener-Hopf equation, two amounts are necessary. The first is theautocorrelation matrix R_(xx) for the channel characteristics that arethe input for the filter. The second is the cross-correlation vectorr_(dx) for the channel characteristics that are the input for the filterand the desired channel characteristics.

The autocorrelation matrix R_(xx) for the channel characteristics can begenerated as a Toeplitz matrix as shown in Equation 7, having aselements the autocorrelation values r_(i) and their complex conjugatesr_(i)*, output by the autocorrelation calculation unit 106.

$\begin{matrix}{R_{xx} = \begin{bmatrix}r_{0} & r_{1} & r_{2} & r_{3} & r_{4} \\r_{1}^{*} & r_{0} & r_{1} & r_{2} & r_{3} \\r_{2}^{*} & r_{1}^{*} & r_{0} & r_{1} & r_{2} \\r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & r_{0} & r_{1} \\r_{4}^{*} & r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & r_{0}\end{bmatrix}} & {{Equation}\mspace{14mu} 7}\end{matrix}$

To obtain the cross-correlation vector r_(dx) for the channelcharacteristics and the desired channel characteristics, the desiredchannel characteristics are necessary, yet these are unknown. However,since the channel characteristics are estimated from the receivedsignals that include a noise component, it is considered that thedesired channel characteristics are not influenced by the noisecomponent. In the present invention, the noise power is estimated fromthe received signal, and a method is used to obtain thecross-correlation vector r_(dx) by subtracting a separately estimatednoise power “n” from the autocorrelation values r_(i) sought in Equation5. The cross-correlation vector r_(dx) sought with this method can beexpressed as in Equation 8. In Equation 8, noise is assumed to be whitenoise. Also, the delays for the noise removal filter used in thefiltering unit 109 are assumed to be two samples.

$\begin{matrix}{r_{dx} = \begin{bmatrix}r_{2} \\r_{1} \\{r_{0} - n} \\r_{1}^{*} \\r_{2}^{*}\end{bmatrix}} & {{Equation}\mspace{14mu} 8}\end{matrix}$

By substituting the autocorrelation matrix R_(xx) sought in Equation 7and the cross-correlation vector r_(dx) sought in Equation 8 in theWiener-Hopf equation in Equation 6, the optimal tap coefficients for thenoise removal filter in the filtering unit 109 can be sought. In otherwords, the tap coefficient calculation unit 108 seeks the tapcoefficients “w” for the noise removal filter in the filtering unit 109by performing the calculations in Equations 6 through 8 based on theautocorrelation value r_(i) sought by the autocorrelation calculationunit 106 and the noise power “n” sought by the noise power estimationunit 107.

Generalizing the delays in the noise removal filter in the filteringunit 109 to sample “d” and letting the corresponding tap coefficients bew_(d) and the cross-correlation vector r_(dx) (d), then the Wiener-Hopfequation can be expressed as in Equation 9.w _(d) =R _(xx) ⁻¹ r _(dx) ^((d))  Equation 9

Equation 10 expresses a matrix W, wherein, when the delays “d” for thedelay devices 191 a-191 e in the noise removal filter in the filteringunit 109 are 0 through 4, the optimal tap coefficients w0 through w4 arelined up in rows.

$\begin{matrix}{W = {\begin{bmatrix}w_{0} & w_{1} & w_{2} & w_{3} & w_{4}\end{bmatrix} = \begin{bmatrix}w_{00} & w_{01} & w_{02} & w_{03} & w_{04} \\w_{10} & w_{11} & w_{12} & w_{13} & w_{14} \\w_{20} & w_{21} & w_{22} & w_{23} & w_{24} \\w_{30} & w_{31} & w_{32} & w_{33} & w_{34} \\w_{40} & w_{41} & w_{42} & w_{43} & w_{44}\end{bmatrix}}} & {{Equation}\mspace{14mu} 10}\end{matrix}$

Equation 11 expresses the cross-correlation matrix R_(dx).

$\begin{matrix}\begin{matrix}{R_{dx} = \left\lfloor \begin{matrix}r_{dx}^{(0)} & r_{dx}^{(1)} & r_{dx}^{(2)} & r_{dx}^{(3)} & \left. r_{dx}^{(4)} \right\rfloor\end{matrix} \right.} \\{= \begin{bmatrix}{r_{0} - n} & r_{1} & r_{2} & r_{3} & r_{4} \\r_{1}^{*} & {r_{0} - n} & r_{1} & r_{2} & r_{3} \\r_{2}^{*} & r_{1}^{*} & {r_{0} - n} & r_{1} & r_{2} \\r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & {r_{0} - n} & r_{1} \\r_{4}^{*} & r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & {r_{0} - n}\end{bmatrix}}\end{matrix} & {{Equation}\mspace{14mu} 11}\end{matrix}$

The Wiener-Hopf equation for seeking the tap coefficient matrix Wbecomes Equation 12.W=R _(xx) ⁻¹ R _(dx)  Equation 12

When the cross-correlation matrix R_(dx) shown in Equation 11 isexpanded by matrix operation, it can be expressed in terms of theautocorrelation matrix R_(xx) and the noise power “n,” as in Equation13. In Equation 13, I represents an identity matrix.

$\begin{matrix}\begin{matrix}{R_{dx} = {\begin{bmatrix}r_{0} & r_{1} & r_{2} & r_{3} & r_{4} \\r_{1}^{*} & r_{0} & r_{1} & r_{2} & r_{3} \\r_{2}^{*} & r_{1}^{*} & r_{0} & r_{1} & r_{2} \\r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & r_{0} & r_{1} \\r_{4}^{*} & r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & r_{0}\end{bmatrix} - {n\begin{bmatrix}1 & 0 & 0 & 0 & 0 \\0 & 1 & 0 & 0 & 0 \\0 & 0 & 1 & 0 & 0 \\0 & 0 & 0 & 1 & 0 \\0 & 0 & 0 & 0 & 1\end{bmatrix}}}} \\{= {R_{xx} - {n\; I}}}\end{matrix} & {{Equation}\mspace{14mu} 13}\end{matrix}$

By substituting Equation 13 into Equation 12, the tap coefficient matrixW can be expressed as in Equation 14.

$\begin{matrix}\begin{matrix}{W = {R_{xx}^{- 1}R_{dx}}} \\{= {R_{xx}^{- 1}\left( {R_{xx} - {nI}} \right)}} \\{= {I - {nR}_{xx}^{- 1}}}\end{matrix} & {{Equation}\mspace{14mu} 14}\end{matrix}$

Equation 14 allows for the optimal tap coefficients w_(d) with differentdelays “d” to be sought collectively as the tap coefficient matrix W.

Not all of the tap coefficients in the set sought in Equation 14 w_(d)need to be used, and it is possible to use only a freely chosen portionthereof.

When the delay “d” is near the minimum (0 in the present embodiment) orthe maximum (4 in the present embodiment), the tap coefficients w_(d)are useful as tap coefficients for use in filtering processing near thestart and the end of the channel characteristics being sought in thefiltering unit 109. Conversely, the noise removal effect is high for tapcoefficients w_(d) for an intermediate delay “d,” and these coefficientsare useful as tap coefficients for use in filtering processing otherthan at the start and the end of the channel characteristics beingsought in the filtering unit 109.

FIG. 4 is a block diagram showing the structure of the tap coefficientcalculation unit. The tap coefficient calculation unit 108 is composedof an autocorrelation matrix generation unit 181, an inverse matrixcalculation unit 182, an identity matrix generation unit 183, and acoefficient calculation unit 184. The autocorrelation matrix generationunit 181 generates an autocorrelation matrix R_(xx) using theautocorrelation values r0 through r4 provided by the autocorrelationcalculation unit 106, as well as their complex conjugates. The inversematrix calculation unit 182 calculates the inverse matrix R_(xx) ⁻¹ forthe autocorrelation matrix R_(xx) generated by the autocorrelationmatrix generation unit 181. The identity matrix generation unit 183generates an identity matrix I. The coefficient calculation unit 184calculates the tap coefficients W for the noise removal filter accordingto Equation 14, based on the inverse matrix R_(xx) ⁻¹ of theautocorrelation matrix provided by the inverse matrix calculation unit182, the identity matrix I provided by the identity matrix generationunit 183, and the noise power “n” provided by the noise power estimationunit 107. The coefficient calculation unit 184 provides the filteringunit 109 either with the sought tap coefficients in their entirety orwith a set of a portion thereof.

The inverse matrix calculation unit 182 calculates the inverse matrixR_(xx) ⁻¹ for the autocorrelation matrix R_(xx) generated by theautocorrelation matrix generation unit 181, yet when there is no noisecomponent in the channel characteristics or the noise component isextremely small, the accuracy of the calculation of the inverse matrixfor the autocorrelation matrix may worsen, and thus the inverse matrixfor the autocorrelation matrix may not be sought accurately. If an erroroccurs in the calculation of the inverse matrix in the inverse matrixcalculation unit 182, then error will appear in the tap coefficients inthe coefficient calculation unit 184, and the noise may be amplified bythe filtering unit 109. Therefore, the inverse matrix calculation unit182 adds a component (αr₀), yielded by a pre-established offsetcoefficient α, to the diagonal elements in the autocorrelation matrixR_(xx), as in Equation 15. It then seeks the inverse matrix for theautocorrelation matrix R_(xx)′ to which the offset component has beenadded and provides the result to the coefficient calculation unit 184.

$\begin{matrix}{R_{xx}^{\prime} = \mspace{31mu}\begin{bmatrix}{r_{0} + {\alpha \cdot r_{0}}} & r_{1} & r_{2} & r_{3} & r_{4} \\r_{1}^{*} & {r_{0} + {\alpha \cdot r_{0}}} & r_{1} & r_{2} & r_{3} \\r_{2}^{*} & r_{1}^{*} & {r_{0} + {\alpha \cdot r_{0}}} & r_{1} & r_{2} \\r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & {r_{0} + {\alpha \cdot r_{0}}} & r_{1} \\r_{4}^{*} & r_{3}^{*} & r_{2}^{*} & r_{1}^{*} & {r_{0} + {\alpha \cdot r_{0}}}\end{bmatrix}} & {{Equation}\mspace{14mu} 15}\end{matrix}$

Qualitatively, as the noise power “n” approaches 0 in the calculation ofthe second element in Equation 14, calculation of the inverse matrixbecomes difficult as the inverse matrix R_(xx) ⁻¹ approaches infinity.Even when the noise power “n” has approached 0, processing to add anoffset component to the autocorrelation matrix R_(xx) as described abovemakes the inverse matrix (R_(xx)′)⁻¹ for the autocorrelation with anadded offset component a finite value, and makes it possible to avoidbreakdown of calculation of the inverse matrix.

In this way, when the noise power “n” approaches 0, the tap coefficientmatrix W approaches the identity matrix I. As the tap coefficient matrixW approaches the identity matrix, the effect of noise removal in thefiltering unit 109 lessens, but as the amount of noise is small, it isnot problematic for the effect of noise removal to lessen. Thisprocessing is more appropriate than increasing noise through error incalculation of the inverse matrix.

FIG. 5 shows the steps for processing in the channel characteristicsestimation unit 111.

In FIG. 5, by inputting the received signal in the frequency domainoutput by the FFT unit 104 into the channel characteristics estimationunit 111, processing in the channel characteristics estimation unit 111begins (S401). The channel characteristics calculation unit 105calculates the channel characteristics from the input received signal(S402).

Next, the autocorrelation calculation unit 106 calculates theautocorrelation value for the channel characteristics input from thechannel characteristics calculation unit 105 (S403). The autocorrelationmatrix generation unit 181 generates an autocorrelation matrix based onthe formation of a Toeplitz matrix using the autocorrelation valuecalculated by the autocorrelation calculation unit 106 (S404). To ensurecalculation accuracy of the inverse matrix, a pre-established offsetcomponent is added to the diagonal elements in the autocorrelationmatrix generated by the autocorrelation matrix generation unit 181(S405).

Next, the inverse matrix calculation unit 182 calculates the inversematrix for the autocorrelation matrix which, in step S405, had apre-established offset component added to its diagonal elements (S406).

The noise power estimation unit 107 estimates the noise power based onthe received signal in the frequency domain input from the FFT unit 104(S407). The coefficient calculation unit 184 calculates the tapcoefficients W for the noise removal filter in the filtering unit 109,based on the inverse matrix for the autocorrelation matrix sought instep S406 and the noise power sought in step S407 (S408).

Next, the filtering unit 109 performs filtering processing on thechannel characteristics provided by the channel characteristicscalculation unit 105, using the tap coefficients W provided by the tapcoefficient calculation unit 108 (S409). Finally, processing of thechannel characteristics estimation unit 111 ends when the channelcharacteristics that underwent filtering processing are provided to theequalizing unit 110 (S410). Step 407 to estimate the noise power can beanywhere after step S401 and before step S408. That is, step S407 can beinserted anywhere between steps S402 and S406, or before or after thesesteps.

<Supplementary Remarks>

This concludes the description of the embodiment of the presentinvention. The present invention is not, however, limited to the abovedescription, and a variety of embodiments is possible to achieve theobjects of the present invention, related objects, or associatedobjects, such as the embodiments listed hereinafter.

(1) In the embodiment, an example of a filter with five taps wasdescribed, but the number of taps is not limited to five; rather, afreely chosen number of taps can be used.

(2) Details were not provided in the embodiment, but during theprocessing between the channel characteristics calculation unit 105 andthe filtering unit 109, or at a stage before or after such processing,interpolation may be performed on the channel characteristics.

(3) In the embodiment, a description was provided of how the noise powerestimation unit 107 estimates noise power using a TMCC pilot signal,TMCC being used as an ISDB-T standard.

The present invention is not limited to this signal, however, andestimation of noise power can use a CP (Continual Pilot) signal or a TPS(Transmission Parameters Signaling) signal, which are used in the DVB-Tstandard.

(4) A control program consisting of program code to cause a processor inthe receiving apparatus or the like, and a variety of circuits connectedto the processor, to execute the operations and processing shown for theembodiment may be recorded on a recording medium, or circulated anddistributed via a variety of communication channels.

Examples of such a recording medium include an IC card, a hard disk, anoptical disc, a flexible disk, ROM, etc.

The circulated and distributed control program is stored for use in thereadable memory of a processor, and by executing the control program,the processor implements each of the functions shown in the embodiment.

(5) The receiving apparatus in the embodiment can be typicallyimplemented as an LSI (Large Scale Integration) integrated circuit. Eachcircuit can be a separate chip, or all or a portion of the circuits canbe included on one chip. For example, the tuner 3 can be integrated inthe same integrated circuit with a different circuit, or located on aseparate integrated circuit.

An LSI was referred to above, but according to its degree ofintegration, it may be called an IC (Integrated Circuit), system LSI,super LSI, or ultra LSI. The method for integrating the circuit is notlimited to LSI, but can also be implemented via a dedicated circuit or ageneric processor. An FPGA (Field Programmable Gate Array) which can beprogrammed after production of the LSI, or a reconfigurable processor inwhich the connections and settings of the circuit cells in the LSI canbe reconfigured, could also be used.

Furthermore, if integrated circuit technology that replaces LSIs viaadvances in semiconductor technology or other technology appears, thenof course the function block can be integrated using that technology.For example, the application of biotechnology, etc. is plausible.

(6) In the embodiment, the OFDM method was described as an example of amulti-carrier method, but any kind of other multi-carrier method can beused.

INDUSTRIAL APPLICABILITY

The present invention can be used in a digital television receiver, i.e.a receiving apparatus for digital terrestrial broadcasting, in a radioreceiver, etc.

REFERENCE SIGNS LIST

-   100 Receiving apparatus (digital television receiver)-   101 Antenna-   102 Tuner-   103 Synchronizing unit-   104 FFT unit-   105 Channel characteristics calculation unit-   106 Autocorrelation calculation unit-   107 Noise power estimation unit-   108 Tap coefficient calculation unit-   109 Filtering unit-   110 Equalizing unit-   111 Channel characteristics estimation unit-   171 TMCC extraction unit-   172 TMCC decoding unit-   173 TMCC remodulation unit-   181 Autocorrelation matrix generation unit-   182 Inverse matrix calculation unit-   183 Identity matrix generation unit-   184 Coefficient calculation unit

1. A receiving apparatus comprising: a conversion unit operable toconvert a received signal, the signal being transmitted by amulti-carrier transmission method, from a time domain into a frequencydomain; a noise power estimation unit operable to estimate, inaccordance with the signal converted into the frequency domain, a noisepower included therein; a channel characteristics estimation unitoperable to estimate channel characteristics in accordance with areference signal included in the signal converted into the frequencydomain; an autocorrelation calculation unit operable to calculate anautocorrelation value for the estimated channel characteristics; a tapcoefficient calculation unit operable to calculate tap coefficients inaccordance with the noise power estimated by the noise power estimationunit and the autocorrelation value calculated by the autocorrelationcalculation unit; and a filtering unit operable to perform filtering onthe channel characteristics in accordance with the tap coefficientscalculated by the tap coefficient calculation unit.
 2. The receivingapparatus in claim 1, wherein the tap coefficient calculation unitincludes: an autocorrelation matrix generation subunit operable togenerate an autocorrelation matrix in accordance with theautocorrelation value; an inverse matrix calculation subunit operable tocalculate an inverse matrix for the autocorrelation matrix; and acoefficient calculation subunit operable to calculate tap coefficientsfor a noise removal filter by multiplying each element in the inversematrix by the noise power and subtracting the result from an identitymatrix.
 3. The receiving apparatus in claim 2, wherein the inversematrix calculation subunit adds a pre-established offset component todiagonal elements in the autocorrelation matrix.
 4. A method forreceiving, comprising the steps of: converting a received signal, thesignal being transmitted by a multi-carrier transmission method, from atime domain into a frequency domain; estimating, in accordance with thesignal converted into the frequency domain, a noise power includedtherein; estimating channel characteristics in accordance with areference signal included in the signal converted into the frequencydomain; calculating an autocorrelation value for the estimated channelcharacteristics; calculating tap coefficients in accordance with thenoise power estimated by the noise power estimation step and theautocorrelation value calculated by the autocorrelation calculationstep; and performing filtering on the channel characteristics inaccordance with the tap coefficients calculated by the tap coefficientcalculation step.
 5. An integrated circuit comprising: a conversion unitoperable to convert a received signal, the signal being transmitted by amulti-carrier transmission method, from a time domain into a frequencydomain; a noise power estimation unit operable to estimate, inaccordance with the signal converted into the frequency domain, a noisepower included therein; a channel characteristics estimation unitoperable to estimate channel characteristics in accordance with areference signal included in the signal converted into the frequencydomain; an autocorrelation calculation unit operable to calculate anautocorrelation value for the estimated channel characteristics; a tapcoefficient calculation unit operable to calculate tap coefficients inaccordance with the noise power estimated by the noise power estimationunit and the autocorrelation value calculated by the autocorrelationcalculation unit; and a filtering unit operable to perform filtering onthe channel characteristics in accordance with the tap coefficientscalculated by the tap coefficient calculation unit.
 6. A digitaltelevision receiver comprising: a conversion unit operable to convert areceived signal, the signal being transmitted by a multi-carriertransmission method, from a time domain into a frequency domain; a noisepower estimation unit operable to estimate, in accordance with thesignal converted into the frequency domain, a noise power includedtherein; a channel characteristics estimation unit operable to estimatechannel characteristics in accordance with a reference signal includedin the signal converted into the frequency domain; an autocorrelationcalculation unit operable to calculate an autocorrelation value for theestimated channel characteristics; a tap coefficient calculation unitoperable to calculate tap coefficients in accordance with the noisepower estimated by the noise power estimation unit and theautocorrelation value calculated by the autocorrelation calculationunit; and a filtering unit operable to perform filtering on the channelcharacteristics in accordance with the tap coefficients calculated bythe tap coefficient calculation unit.
 7. A computer program causing acomputer to perform processing comprising the steps of: converting areceived signal, the signal being transmitted by a multi-carriertransmission method, from a time domain into a frequency domain;estimating, in accordance with the signal converted into the frequencydomain, a noise power included therein; estimating channelcharacteristics in accordance with a reference signal included in thesignal converted into the frequency domain; calculating anautocorrelation value for the estimated channel characteristics;calculating tap coefficients in accordance with the noise powerestimated by the noise power estimation step and the autocorrelationvalue calculated by the autocorrelation calculation step; and performingfiltering on the channel characteristics in accordance with the tapcoefficients calculated by the tap coefficient calculation step.